Structuralizing complex contextual relations using a biological encoding method

This paper proposes a new method of contextual data analysis to structuralize complex communications using an encoding method composed of biological molecules. In a modern and advanced information technology society, managers, executives, employees, and other related business and organizational groups or departments often need to exchange and provide information with each other about the complex contexts of issues in their communications. In this case, a large number of contexts often emerge and need to be clearly organized and structured. This study focuses mainly on the large volume of contextual relations that can be resolved using a biological encoding method.